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Linear correlation (presented in Session 5) and linear regression are closely related statistical concepts. Please pick a topic of interest to you and describe how these two methods might be used. What are the differences between the two methods and when would you use each?
Twenty times they sold 6 cars, they never sold 7 cars, three times they sold 8 cars and one time they sold 9 cars. Find the probability that at most 4 cars were sold in a week.
The scheduled commuting time on the Long Island Rail Road from Glen Cove to New York City is 65 minutes. Suppose that the actual commuting time is uniformly distributed between 64 and 74 minutes.
Estimate and interpret the p-value of the calculated test statistic.
A wildlife biologist captures a certain species of geese in orer to weigh them. Using science, he determines that the weights are normally distributed with a mean of nine pounds and a standard deviation of 1.3 pounds.
What is the relevance of Pearson's r? What does it tell you about the correlation between variables? What is one example of a null hypothesis and the research hypothesis that goes with it?
The probability that it is a camper with Canadian license plates is 0.09. What is the probability that a camper entering the Luray Caverns has Canadian license plates?
The mean time to expose a single panel in a circuit-board plant is two minutes with a standard deviation of 1.5 minutes. What is the natural coefficient of variation?
A sample of 25 undergraduates reported the following dollar amounts of entertainment expenses last year: Use the Empirical Rule to establish an interval which includes about 95 percent of the observations.
Standard deviation of 5 hours. What percentage of the bulbs have lifetimes that lie within one standard deviation of the mean on either side?
Review the Christian year pie chart and write a summary in which you (a) describe the significance of the holy days on the chart.
If 25 men aged 18-24 are arbitrarily chosen, determine probability that their mean serum cholesterol level is between 165 and 200.
Determine the range and standard deviation of the times.
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